#Gss 2016 codebook series
Number of waves: 1 (ANES 2020 Time Series post-election study).Sample composition: participants from the GSS 2016-2020 Panel study.Sample universe: 1,734 persons that participated in the GSS 2016-2020 Panel study.Total number of interviews: 1,164 ANES 2020 Time Series post-election study.
The September 2010 earthquake in Christchurch did not affect data collection. The weights used for the survey have controlled for the loss of cases. This led to a lower number of completed cases for February and March in the Canterbury area. This meant the sample size for GSS 2021 was significantly smaller than for previous collections.Īfter the Christchurch earthquake in February 2011, interviewers were unable to work in certain parts of the Canterbury area. Collection stopped on 17 August, meaning the collection period for GSS 2021 was around four and a half months. However, a second nationwide lockdown began in August 2021, during the Delta variant outbreak, suspending face-to-face interviewing for a second time.
#Gss 2016 codebook full
For the rest of the survey, the respondent is then randomly selected from all eligible individuals in the household.ĭue to the first nationwide Covid-19 pandemic lockdown in March 2020, face-to-face interviewing for the GSS 2020 data collection (due to begin in April 2020, and end in March 2021) was delayed by a full year (until April 2021), following consultation with stakeholders.ĭata collection for GSS 2021 (formerly GSS 2020), began on 1 April 2021. Once a household is selected to take part in the General Social Survey, any eligible individual (that is, someone aged 15 or over and who usually lives at that address) can complete the first part of the survey. The GSS is designed to provide estimates at a national level. The eligible individual is chosen at random from all eligible individuals in the household. In the third stage, we select one eligible individual within each selected household. The second stage of sample selection consists of selecting eligible dwellings within the selected PSUs.
We then assign PSUs to standard strata based on these attributes. The HSF lists PSUs with attributes determined by data from the census.
The HSF is the standard sampling frame we use to select samples and to manage overlap control for all our household surveys. The sample is selected to be representative of region, urban/rural area, ethnicity, and socio-economic status, and to ensure the desired precisions among these groups is obtained.įor the first stage, primary sampling units (PSUs) are selected from the Household Survey Frame (HSF). It is a stratified sampling method, which ensures the sample represents diverse characteristics of the whole country. The GSS uses a three-stage sample selection method, similar to our other household surveys. In particular, the survey provides a view of how wellbeing outcomes vary across different groups within the population. Data gathered includes objective information about circumstance, such as labour force status and income, as well as a personal assessment of different aspects of New Zealander's lives, such as life satisfaction, health, housing, human rights, and relationships. The GSS produces statistics about social wellbeing to inform decision-making by government agencies and the wider community.
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